from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Kvisten/abisko-lite-3-v2', weight_name='abisko_lite_3_v2.safetensors')
image = pipeline('A light blue abisko-lite-3 tent set up on a rocky mountain ridge, surrounded by rugged terrain and distant snow-capped peaks. The tent's guy lines are secured to nearby rocks, and the fabric flutters slightly in the breeze. A few scattered wildflowers can be seen growing between the rocks.').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers